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For each article, the published version is accessible through the DOI. When the article was not published open access, an open access version can be accessed through the hyperlinked title.

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Submitted

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Boag, R. J., Innes, R. J., Stevenson, N., Bahg, G., Busemeyer, J. R., Cox, G. E., Donkin, C., Frank, M. J., Hawkins, G. E., Heathcote, A., Hedge, C., Lerche, V., Lilburn, S. D., Logan, G. D., Matzke, D., Miletic, S., Osth, A. F., Palmeri, T. J., Sederberg, P. B., Singmann, H., Smith, P. L., Stafford, T., Steyvers, M., Strickland, L., Trueblood, J. S., Tsetsos, K., Turner, B. M., Usher, M., van Maanen, L., van Ravenzwaaij, D., Vandekerckhove, J., Voss, A., Weichart, E. R., Weindel, G., White, C. N., Evans, N. J., Brown, S. D., & Forstmann, B. U. (2024). An Expert Guide to Planning Experimental Tasks for Evidence Accumulation Modelling. Manuscript submitted for publication.

 

Rimpler, A., Kiers, H. A. L., & van Ravenzwaaij, D. (2024). Anything Goes: Statistical Interactions Without Substantive Theory. Manuscript submitted for publication. Accompanying materials may be found here.

 

Knoechel, T.-D., Schweizer, K., Acar, O.A., Akil, A., Al-Hoorie, A., Buehler, F., Elsherif, M., Giannini, A., Heyselaar, E., Hosseini, M., Ilangovan, V., Kovacs, M., Lin, Z., Liu, M., Peeters, A., van Ravenzwaaij, D., Vranka, M., Yamada, Y.,  Yang, Y.-F., & Aczel, B. (2024). Principles for Responsible AI Usage in Research. Manuscript submitted for publication.

 

van Minnen, O., Linde, M., Oude Lansink-Hartgering, A., van den Boogaard, B., Bunge, J. J. H., Delnoij, T. S. R., Kraemer, C. V. E., Kuijpers, M., Maas, J. J., de Metz, J., van de Poll, M., dos Reis Miranda, D., Vlaar, A. P. J., van Ravenzwaaij, D., & van den Bergh, W. M. (2024). Reduced anticoagulation targets in extracorporeal life support (RATE): Protocol for a pre-planned secondary Bayesian analysis of the RATE trial. Manuscript submitted for publication.

 

Pittelkow, M.-M., Field, S. M., & van Ravenzwaaij, D. (2024). Thinking Beyond RVCN: We Need to Address the Complexity of Replication Target Selection. Manuscript submitted for publication.​

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Rimpler, A., Kiers, H. A. L., & van Ravenzwaaij, D. (2024). To Interact or not to Interact: Pros and Cons of Including Interactions in Linear Regression Models. Manuscript submitted for publication. Accompanying materials may be found here.

 

​Linde, M., Jochim, L., Tendeiro, J. N., & van Ravenzwaaij, D. (2024). Data-driven prior elicitation for Bayes factors in Cox regression for nine subfields in biomedicine. Manuscript submitted for publication.

van Ravenzwaaij, D., Hoekstra, R., Scheibe, S., Span, M. M., Wessel, I., & Heininga, V. E. (2024). Two worked examples of making data GDPR-compliant and FAIR. Manuscript submitted for publication. Accompanying materials may be found here.

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Linde, M., Tendeiro, J. N., & van Ravenzwaaij, D. (2024). Bayes Factors for Two-group Comparisons in Cox Regression. Manuscript submitted for publication.

In Press

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Kerschbaumer, S., Voracek, M., Aczél, B., Anderson, S. F., Booth, B. M., Buchanan, E. M., Carlsson, Heck, D. W., Hiekkaranta, A. P., Hoekstra, R., Karch, J. D., Lafit, G., Lin, Z., Liu, S., MacKinnon, D. P., McGorray, E. L., Moreau, D., Papadatou-Pastou, M., Paterson, H., Perera, R. A., Schad, D. J., Sewell, D. K., Syed, M., Tay, L., Tendeiro, J. N., Toland, M. D., Vanpaemel, W., van Ravenzwaaij, D., Voncken, L., & Tran, U. S. (in press). VALID: A Checklist-Based Approach for Improving Validity in Psychological Research. Advances in Methods and Practices in Psychological Science.

 

Davis-Stober, C. P., Sarafoglou, A., Aczel, B., Chandramouli, S. H., Errington, T. M., Field, S. M., Fishbach, A., Freire, J., Ioannidis, J. P. A., Oberauer, K., Pestilli, F., Ressl, S., Schad, D. J., ter Schure, J., Tentori, K., van Ravenzwaaij, D., Vandekerckhove, J., & Gundersen, O. E. (in press). How Can We Make Sound Replication Decisions? Proceedings of the National Academy of Sciences.

 

Muradchanian, J., Hoekstra, R., Kiers, H. A. L., & van Ravenzwaaij, D. (in press). Evaluating meta-analysis as a replication success measure. PLOS ONE. Accompanying materials may be found here.

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2024

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Linde, M., Tendeiro, J. N., Wagenmakers, E.-J., & van Ravenzwaaij, D. (2024). Practical Implications of Equating Equivalence Tests: Reply to Campbell and Gustafson (2022). Psychological Methods, 29, 603-605. https://doi.org/10.1037/met0000549

 

Pittelkow, M.-M., Linde, M., de Vries, Y. A., Hemkens, L. G., Schmitt, A. M., Meijer, R. R., & van Ravenzwaaij, D. (2024). Strength of Statistical Evidence for the Efficacy of Cancer Drugs: A Bayesian Re-Analysis of Randomized Trials Supporting Food and Drug Administration Approval. Journal of Clinical Epidemiology, 174, 111479. https://doi.org/10.1016/j.jclinepi.2024.111479. Accompanying materials may be found here​.

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Sarafoglou, A., Hoogeveen, S., van den Bergh, D., Aczel, B., Albers, C. J., Althoff, T., Botvinik-Nezer, R., Busch, N. A., Cataldo, A. M., Devezer, B., van Dongen, N. N. N., Dreber, A., Fried, E., Hoekstra, R., Hoffman, S., Holzmeister, F., Huber, J., Huntington-Klein, N., Ioannidis, J. P. A., Johannesson, M., Kirchler, M., Loken, E., Mangin, J.-F., Matzke, D., Menkveld, A. J., Nilsonne, G., van Ravenzwaaij, D., Schweinsberg, M., Schulz-Kuempel, H., Shanks, D. R., Simons, D. J., Spellman, B. A., Stoevenbelt, A. H., Szaszi, B., Trübutschek, D., Tuerlinckx, F., Uhlmann, E. L., Vanpaemel, W., Wicherts, J., & Wagenmakers, E.-J. (2024). Subjective Evidence Evaluation Survey For Multi-Analyst Studies. Royal Society Open Science, 11, 240125. https://doi.org/10.1098/rsos.240125

 

Hoek, J. M., Brenninkmeijer, J. M., de Vries, Y.-A., Meijer, R. R., & van Ravenzwaaij, D. (2024). Assessing the credibility of a drug’s effects: Identification and judgment of uncertainty by the Dutch Medicines Evaluation Board. Frontiers in Medicine, 11, 1409259. https://doi.org/10.3389/fmed.2024.1409259

 

Muradchanian, J., Hoekstra, R., Kiers, H. A. L., Fife, D., & van Ravenzwaaij, D. (2024). Comparing researchers’ degree of dichotomous thinking using frequentist versus Bayesian null hypothesis testing. Scientific Reports, 14,  12120. https://doi.org/10.1038/s41598-024-62043-w. Stage 1 RR can be found here.

 

Linde, M., Pittelkow, M.-M., Schwarzbach, N. R., & van Ravenzwaaij, D. (2024). Reputation without practice? A dynamic computational model of the unintended consequences of open scientist reputations. Journal of Trial & Error, 4. https://doi.org/10.36850/mr10

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2023

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Sakaluk, J. K., de Santis, C., Kilshaw, R., Pittelkow, M.-M., Brandes, C., Boness, C., Botanov, Y., Williams, A. J., Wendt, D. C., Lorenzo-Luaces, L., Schleider, J., & van Ravenzwaaij, D. (2023). Reconsidering What Makes Syntheses of Psychological Intervention Studies Useful. Nature Reviews Psychology, 2, 569-583. https://doi.org/10.1038/s44159-023-00213-9

 

Linde, M., & van Ravenzwaaij, D. (2023). baymedr: An R Package for the Calculation of Bayes Factors for Equivalence, Non-Inferiority, and Superiority Designs. BMC: Medical Research Methodology, 23, 279. https://doi.org/10.1186/s12874-023-02097-y The R-package is here. The shinyapp is here.

 

The MARP Team (2023). A Many-Analysts Approach to the Relation Between Religiosity and Well-Being. Religion, Brain & Behavior, 13, 237-283. https://doi.org/10.1080/2153599X.2022.2070255

 

Muradchanian, J., Hoekstra, R., Kiers, H. A. L., & van Ravenzwaaij, D. (2023). The Role of Results in Deciding to Publish: A Direct Comparison Across Authors, Reviewers, and Editors Based on an Online Survey. PLOS ONE, 18, e0292279. https://doi.org/10.1371/journal.pone.0292279

 

van Ravenzwaaij, D., Bakker, M., Heesen, R., Romero, F., van Dongen, N. N. N., Crüwell, S., Field, S. M., Held, L., Munafò, M. R., Pittelkow, M.-M., Tiokhin, L., Traag, V. A., van den Akker, O. R., van 't Veer, A. E., & Wagenmakers, E.-J. (2023). Perspectives on Scientific Error. Royal Society Open Science, 10, 230448. https://doi.org/10.1098/rsos.230448

 

Linde, M., Tendeiro, J. N., Selker, R., Wagenmakers, E.-J., & van Ravenzwaaij, D. (2023). Decisions About Equivalence: A Comparison of TOST, HDI-ROPE, and the Bayes Factor. Psychological Methods, 28, 740-755. https://doi.org/10.1037/met0000402 R-scripts can be found here.

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Heck, D. W., Boehm, U., Böing-Messing, F., Bürkner, P. C., Derks, K., Dienes, Z., Fu, Q., Gu, X., Karimova, D., Kiers, H. A. L., Klugkist, I. G., Kuiper, R. M., Lee, M. D., Leenders, R., Leplaa, H. J., Linde, M., Ly, A., Meijerink-Bosman, M., Moerbeek, M., Mulder, J., Palfi, B., Schönbrodt, F. D., Tendeiro, J. N., van den Bergh, D., van Lissa, C., van Ravenzwaaij, D., Vanpaemel, W., Wagenmakers, E.-J., Williams, D. R., Zondervan-Zwijnenburg, M., & Hoijtink, H. (2023). A Review of Applications of the Bayes Factor in Psychological Research. Psychological Methods, 28, 558-579. https://doi.org/10.1037/met0000454 Accompanying materials can be found here.

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van Doorn, J. B., Haaf, J. M., Stefan, A. M., Wagenmakers, E.-J., Cox, G. E., Davis-Stober, C. P., Heathcote, A., Heck, D. W., Kalish, M., Kellen, D., Matzke, D., Morey, R. D., Nicenboim, B., van Ravenzwaaij, D., Rouder, J.  N., Schad, D. J., Shiffrin, R. M., Singmann, H., Vasishth, S., Veríssimo, J., Bockting, F., Chandramouli, S., Dunn, J. C., Gronau, Q. F., Linde, M., McMullin, S. D., Navarro, D., Schnuerch, M., Yadav, H., & Aust, F. (2023). Bayes Factors for Mixed Models: A Discussion. Computational Brain & Behavior, 6, 140-158. https://doi.org/10.1007/s42113-022-00160-3

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Linde, M. & van Ravenzwaaij, D. (2023). Bayes Factor Model Comparisons Across Parameter Values for Mixed Models. Computational Brain & Behavior, 6, 14-27. https://doi.org/10.1007/s42113-021-00117-y R-scripts can be found here.

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Pittelkow, M.-M., Field, S. M., Isager, P. M., van 't Veer, A. E., Anderson, T., Cole, S. N., Dominik, T., Giner-Sorolla, R., Gok, S., Heyman, T., Jekel, M., Luke, T. J., Mitchell, D. B., Peels, R., Pendrous, R., Sarrazin, S., Schauer, J. M., Specker, E., Tran, U. S., Vranka, M. A., Wicherts, J. M., Yoshimura, N., Zwaan, R. A., & van Ravenzwaaij, D. (2023). The Process of Replication Target Selection in Psychology: What to Consider? Royal Society Open Science, 10, 210586. https://doi.org/10.1098/rsos.210586 Stage 1 RR can be found here.

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Fraser, H., Bush, M., Wintle, B. C., Mody, F., Smith, E., Hanea, A., Gould, E., Hemming, V., Hamilton, D. G., Rumpff, L., Wilkinson, D. P., Pearson, R., Thorn, F. S., Ashton, R., Willcox, A., Gray, C., Head, A., Ross, M., Groenewegen, R., Marcoci, A., Vercammen, A., Parker, T., Hoekstra, R., Nakagawa, S., Mandel, D. R., van Ravenzwaaij, D., McBride, M., Sinnott, R. O., Vesk, P., Burgman, M., & Fidler, F. (2023). Predicting Reliability Through Structured Expert Elicitation with repliCATS (Collaborative Assessments for Trustworthy Science). PLOS ONE, 18, e0274429. https://doi.org/10.1371/journal.pone.0274429

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2022

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van Ravenzwaaij, D., & Wagenmakers, E.-J. (2022). Advantages Masquerading as 'Issues' in Bayesian Hypothesis Testing: A Commentary on Tendeiro and Kiers (2019). Psychological Methods, 27, 451-465. https://doi.org/10.1037/met0000415

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Tendeiro, J. N., Kiers, H. A. L., & van Ravenzwaaij, D. (2022). Worked-Out Examples of the Adequacy of Bayesian Optional Stopping. Psychonomic Bulletin & Review, 29, 70-87. https://doi.org/10.3758/s13423-021-01962-5 Supplementary materials can be found here.

 

Kovacs, M.*, van Ravenzwaaij, D.*, Hoekstra, R., & Aczel, B. (2022). SampleSizePlanner: A Tool to Estimate and Justify Sample Size for Two-Group Studies. Advances in Methods and Practices in Psychological Science, 5, 1-10. https://doi.org/10.1177/25152459211054059 The app can be found here. *=shared first author

 

2021

 

Pittelkow, M.-M., de Vries, Y. A., Monden, R., Bastiaansen, J. A., & van Ravenzwaaij, D. (2021). Comparing the Evidential Strength for Psychotropic Drugs: A Bayesian Meta-Analysis. Psychological Medicine, 51, 2752-2761. https://doi.org/10.1017/S0033291721003950 Accompanying materials can be found here.

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Wagenmakers, E.-J., Sarafoglou, A., Aarts, S., Albers, C. J., Algermissen, J., Bahník, J., van Dongen, N. N. N., Hoekstra, R., Moreau, D., van Ravenzwaaij, D., Sluga, A., Stanke, F., Tendeiro, J. N., & Aczel, B. (2021). Seven Steps Toward More Transparency in Statistical Practice. Nature Human Behaviour, 5, 1473-1480. https://doi.org/10.1038/s41562-021-01211-8

 

Aczel, B., Szaszi, B., Nilsonne, G., van den Akker, O. R., Albers, C. J., van Assen, M. A. L. M., Bastiaansen, J. A., Benjamin, D., Boehm, U., Botvinik-Nezer, R., Bringmann, L. F., Busch, N. A., Caruyer, E., Cataldo, A. M., Cowan, N., Delios, A., van Dongen, N. N. N., Donkin, C., van Doorn, J. B., Dreber, A., Dutilh, G., Egan, G. F., Gernsbacher, M. A., Hoekstra, R., Hoffmann, S., Holzmeister, F., Huber, J., Johannesson, M., Jonas, K. J., Kindel, A. T., Kirchler, M., Kunkels, Y. K., Lindsay, D. S., Mangin, J.-F., Matzke, D., Munafò, M. R., Newell, B. R., Nosek, B. A., Poldrack, R. A., van Ravenzwaaij, D., Rieskamp, J., Salganik, M. J., Sarafoglou, A., Schonberg, T., Schweinsberg, M., Shanks, D., Silberzahn, R., Simons, D. J., Spellman, B. A., St-Jean, S., Starns, J. J., Uhlmann, E. L., Wicherts, J. M., & Wagenmakers, E.-J. (2021). Consensus-based Guidance for Conducting and Reporting Multi-Analyst Studies. eLife, 10, e72185. https://doi.org/10.7554/eLife.72185

 

Hanea, A., Wilkinson, D., McBride, M., Lyon, A., van Ravenzwaaij, D., Thorn, F. S., Grey, C., Mandel, D., Willcox, A., Gould, E., Smith, E., Mody, F., Bush, M., Fidler, F., Fraser, H., & Wintle, B. C. (2021). Mathematically Aggregating Experts’ Predictions of Possible Futures. PLOS ONE, 16, e0256919. https://doi.org/10.1371/journal.pone.0256919

 

Haucke, M. N., Hoekstra, R., & van Ravenzwaaij, D. (2021). When numbers fail: Do researchers agree on operationalisation of published research? Royal Society Open Science, 8, 191354. https://doi.org/10.1098/rsos.191354 Stage 1 RR can be found here. Accompanying materials may be found here.

 

Pittelkow, M.-M., Hoekstra, R., Karsten, J., & van Ravenzwaaij, D. (2021). Replication Target Selection in Clinical Psychology: A Bayesian and Qualitative Re-Evaluation​. Clinical Psychology: Science and Practice, 28, 210-221. https://doi.org/10.1037/cps0000013

 

Hoek, J. M.*, Field, S. M.*, de Vries, Y. A., Linde, M., Pittelkow, M.-M., Muradchanian, J., & van Ravenzwaaij, D. (2021). Rethinking Remdesivir for COVID-19: A Bayesian Reanalysis of Trial Findings. PLOS ONE, 16, e0255093. https://doi.org/10.1371/journal.pone.0255093 The rmarkdown code belonging to the paper can be found here. *=shared first author

 

Muradchanian, J., Hoekstra, R., Kiers, H. A. L., & van Ravenzwaaij, D. (2021). How Best to Quantify Replication Success? A Simulation Study on the Comparison of Replication Success Metrics. Royal Society Open Science, 8, 201697. https://doi.org/10.1098/rsos.201697 R-scripts can be found here.

 

Haucke, M. N., Miosga, J., Hoekstra, R., & van Ravenzwaaij, D. (2021). Bayesian Frequentists: Examining the Paradox Between What Researchers Can Conclude Versus What They Want to Conclude from Statistical Results. Collabra: Psychology, 7, 19026. https://doi.org/10.1525/collabra.19026 Data and materials can be found here.

 

van Ravenzwaaij, D. (2021). Speelse Statistiek. De Psycholoog, 56, 29. Book review of "Bayesiaans Denken voor Peuters" ("Bayesian Thinking for Toddlers") by Eric-Jan Wagenmakers.

 

van Ravenzwaaij, D., & Etz, A. (2021). Simulation Studies as a Tool to Understand Bayes Factors. Advances in Methods and Practices in Psychological Science, 4, 1-20. https://doi.org/10.1177/2515245920972624 The rmarkdown code belonging to the paper can be found here.

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2020

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Aczel, B., Hoekstra, R., Gelman, A., Wagenmakers, E.-J., Klugkist, I. G., Rouder, J. N., Vandekerckhove, J., Lee, M. D., Morey, R. D., Vanpaemel, W., Dienes, Z., & van Ravenzwaaij, D. (2020). Discussion Points for Bayesian Inference. Nature Human Behaviour, 4, 561-563. https://doi.org/10.1038/s41562-019-0807-z Supplementary materials can be found here.

 

van Ravenzwaaij, D., Brown, S. D., Marley, A. A. J., & Heathcote, A. (2020). Accumulating Advantages: A New Conceptualization of Rapid Multiple Choice. Psychological Review, 127, 186-215. https://doi.org/10.1037/rev0000166 Supplementary material can be found here.

 

Konstantinidis, E., van Ravenzwaaij, D., Güney, S., & Newell, B. R. (2020). Now for Sure or Later with a Risk? Modeling Risky Inter-Temporal Choice as Accumulated Preference. Decision, 7, 91-120. https://doi.org/10.1037/dec0000103

 

Field, S. M., Wagenmakers, E.-J., Kiers, H. A. L., Hoekstra, R., Ernst, A. F., & van Ravenzwaaij, D. (2020). The Effect of Preregistration on Trust in Empirical Research Findings: Results of a Registered Report. Royal Society Open Science, 7, 181351. https://doi.org/10.1098/rsos.181351 Study materials can be found here.

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2019

 

Starns, J. J., Cataldo, A. M., Rotello, C. M., Annis, J., Aschenbrenner, A., Broder, A., Cox, G., Criss, A., Curl, R. A., Dobbins, I. G., Dunn, J., Enam, T., Evans, N., Farrell, S., Fraundorf, S. H., Gronlund, S. D., Heathcote, A., Heck, D. W., Hicks, J., L., Huff, M. J., Kellen, D., Key, K., N., Kilic, A., Klauer, C., Kraemer, K. R., Leite, F. P., Lloyd, M. E., Malejka, S., Mason, A., McAdoo, R. M., McDonough, I. M., Michael, R., Mickes, L., Mizrak, E., Morgan, D. P., Mueller, S. T., Osth, A., Reynolds, A., Seale-Carlisle, T. M., Singmann, H., Sloane, J. F., Smith, A., Tillman, G., van Ravenzwaaij, D., Weidemann, C. T., Wells, G., White, C. N., & Wilson, J. (2019). Assessing Theoretical Conclusions with Blinded Inference to Investigate a Potential Inference Crisis. Advances in Methods and Practices in Psychological Science, 2, 335-349. https://doi.org/10.1177/2515245919869583

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van Ravenzwaaij, D., & Ioannidis, J. P. A. (2019). True and False Positive Rates for Different Criteria of Evaluating Statistical Evidence from Clinical Trials. BMC: Medical Research Methodology, 19, 218. https://doi.org/10.1186/s12874-019-0865-y R-code and supplementary material can be found here.

 

Field, S. M., Hoekstra, R., Bringmann, L. F., & van Ravenzwaaij, D. (2019). When and Why to Replicate: As Easy as 1, 2, 3? Collabra: Psychology, 5, 46. https://doi.org/10.1525/collabra.218

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Dutilh, G., Annis, J., Brown, S. D., Cassey, P., Evans, N. J., Grasman, R. P. P., Hawkins, G. E., Heathcote, A., Holmes, W. R., Krypotos, A.-M., Kupitz, C. N., Leite, F. P., Lerche, V., Lin, Y.-S., Logan, G. D., Palmeri, T. J., Starns, J. J., Trueblood, J. S., van Maanen, L., van Ravenzwaaij, D., Vandekerckhove, J., Visser, I., Voss, A., White, C. N., Wiecki, T. V., Rieskamp, J., & Donkin, C. (2019). The Quality of Response Time Data Inference: A Blinded, Collaborative Assessment of the Validity of Cognitive Models. Psychonomic Bulletin & Review, 26, 1051-1069. https://doi.org/10.3758/s13423-017-1417-2

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Crisan, D. R., Tendeiro, J. N., Wanders, R. B. K., van Ravenzwaaij, D., Meijer, R. R., & Hartman, C. A. (2019). Practical Consequences of Model Misfit When Using Rating Scales to Assess ADHD Severity in Children​. International Journal of Methods in Psychiatric Research, 28, e1795. https://doi.org/10.1002/mpr.1795

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van Ravenzwaaij, D., Monden, R., Tendeiro, J. N., & Ioannidis, J. P. A. (2019). Bayes Factors for Superiority, Non-Inferiority, and Equivalence Designs. BMC: Medical Research Methodology, 19, 71. R-code for simulations can be found here. https://doi.org/10.1186/s12874-019-0699-7

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van Dongen, N. N. N., van Doorn, J. B., Gronau, Q. F., van Ravenzwaaij, D., Hoekstra, R., Haucke, M. N., Lakens, D., Hennig, C., Morey, R. D., Homer, S., Gelman, A., Sprenger, J., & Wagenmakers, E.-J. (2019). Multiple Perspectives on Inference for Two Simple Statistical Scenarios. The American Statistician, 73, 328–339. https://doi.org/10.1080/00031305.2019.1565553

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2018

 

Boehm, U., Annis, J., Frank, M. J., Hawkins, G. E., Heathcote, A., Kellen, D., Krypotos, A.-M., Lerche, V., Logan, G. D., Palmeri, T. J., van Ravenzwaaij, D., Servant, M., Singmann, H., Starns, J. J., Voss, A., Wiecki, T. V., Matzke, D., & Wagenmakers, E.-J. (2018). Estimating Across-Trial Variability Parameters of the Diffusion Decision Model: Expert Advice and Recommendations. Journal of Mathematical Psychology, 87, 46–75. https://doi.org/10.1016/j.jmp.2018.09.004

 

Albers, C. J., Kiers, H. A. L., & van Ravenzwaaij, D. (2018). Credible Confidence: A pragmatic view on the frequentist vs Bayesian debate. Collabra: Psychology, 4, 31. https://doi.org/10.1525/collabra.149

 

Baribault, B., Donkin, C., Little, D. R., Trueblood, J. S., Oravecz, Z., van Ravenzwaaij, D., White, C. N., de Boeck, P. & Vandekerckhove, J. (2018). Meta-Studies for Robust Tests of Theory. Proceedings of the National Academy of Sciences, 115, 2607–2612. https://doi.org/10.1073/pnas.1708285114

 

Ernst, A. F., Hoekstra, R., Wagenmakers, E.-J., Gelman, A., & van Ravenzwaaij, D. (2018). Do Researchers Anchor their Beliefs on the Outcome of an Initial Study? Testing the Time-Reversal Heuristic. Experimental Psychology, 65, 158–169. https://doi.org/10.1027/1618-3169/a000402

 

Monden, R., Roest, A. M., van Ravenzwaaij, D., Wagenmakers, E.-J., Morey, R. D., Wardenaar, K. J. & de Jonge, P. (2018). The Comparative Evidence Basis for the Efficacy of Second-Generation Antidepressants in the Treatment of Depression in the US: A Bayesian Meta-Analysis of Food and Drug Administration Reviews. Journal of Affective Disorders, 235, 393–398. https://doi.org/10.1016/j.jad.2018.04.040

 

Hoekstra, R., Monden, R., van Ravenzwaaij, D., & Wagenmakers, E.-J. (2018). Bayesian Reanalysis of Null Results Reported in the New England Journal of Medicine: Strong yet Variable Evidence for the Absence of Treatment Effects. PLoS One, 13, e0195474. https://doi.org/10.1371/journal.pone.0195474

 

Heida, A., Van de Vijver, E., van Ravenzwaaij, D., Van Biervliet, S., Hummel, T. Z., Yuksel, Z., Gonera-de Jong, G., Schulenberg, R., Muller Kobold, A., van Rheenen, P. F. & the CACATU Consortium (2018). Predicting inflammatory bowel disease in children with abdominal pain and diarrhoea: Calgranulin-C versus calprotectin stool tests. Archives of Disease in Childhood, 103, 565–571. https://doi.org/10.1136/archdischild-2017-314081

 

Campbell, L., Hanlon, M.–C., Cherrie, G., Harvey, C., Stain, H. J., Cohen, M., van Ravenzwaaij, D. , & Brown, S. D. (2018). Severity of Illness and Adaptive Functioning Predict Quality of Care of Children Among Parents with Psychosis: A Confirmatory Factor Analysis. Australian and New Zealand Journal of Psychiatry, 52, 435–445. https://doi.org/10.1177/0004867417731526

 

van Ravenzwaaij, D., Cassey, P., & Brown, S. D. (2018). A Simple Introduction to Markov Chain Monte–Carlo Sampling. Psychonomic Bulletin & Review, 25, 143–154. https://doi.org/10.3758/s13423-016-1015-8

 

2017

 

Tillman, G., Osth, A., van Ravenzwaaij, D., & Heathcote, A. (2017). A Diffusion Decision Model Analysis of Evidence Variability in the Lexical Decision Task. Psychonomic Bulletin & Review, 24, 1949–1956. https://doi.org/10.3758/s13423-017-1259-y

 

Schulze, C., van Ravenzwaaij, D., & Newell, B. R. (2017). Hold it! The Influence of Lingering Rewards on Choice Diversification and Persistence. Journal of Experimental Psychology: Learning, Memory & Cognition, 43, 1752–1767. https://doi.org/10.1037/xlm0000407

 

van Ravenzwaaij, D., Donkin, C., & Vandekerckhove, J. (2017). The EZ Diffusion Model Provides a Powerful Test of Simple Empirical Effects. Psychonomic Bulletin & Review, 24, 547–556. The online appendix can be found here. https://doi.org/10.3758/s13423-016-1081-y

 

van Ravenzwaaij, D. & Ioannidis, J. P. A. (2017). A Simulation Study of the Strength of Evidence in the Recommendation of Medications Based on Two Trials with Statistically Significant Results. PLoS One, 12, e0173184. https://doi.org/10.1371/journal.pone.0173184 R code for the simulations can be found here. Supplementary material can be found here.

 

Tillman, G., Benders, T., Brown, S. D., & van Ravenzwaaij, D. (2017). An Evidence Accumulation Model of Acoustic Cue Weighting in Vowel Perception. Journal of Phonetics, 61, 1–12. https://doi.org/10.1016/j.wocn.2016.12.001

 

van Ravenzwaaij, D., Provost, A., & Brown, S. D. (2017). A Confirmatory Approach for Integrating Neural and Behavioral Data into a Single Model. Journal of Mathematical Psychology, 76, 131–141. https://doi.org/10.1016/j.jmp.2016.04.005 Data and the model script can be found here.

 

Huizenga, H. M., van Ravenzwaaij, D., Ridderinkhof, R., & Wetzels, R. (2017). Albright vs. Trump: Scientific Evidence for the Beneficial Effects of Careful Deliberation. Science, 311, 1005-1007. https://doi.org/10.13140/RG.2.2.24390.27207.

 

2016

 

Field, S. M., Wagenmakers, E.-J., Newell, B. R., Zeelenberg, R. & van Ravenzwaaij, D. (2016). Two Bayesian Tests of the GLOMOsys Model. Journal of Experimental Psychology: General, 145, e81–e95. https://doi.org/10.1037/xge0000067

 

Cramer, A. O. J., van Ravenzwaaij, D., Matzke, D., Steingröver, H., Wetzels, R., Grasman, R. P. P. P., Waldorp, L. J., & Wagenmakers, E.–J. (2016). Hidden Multiplicity in Multiway ANOVA: Prevalence, Consequences, and Remedies. Psychonomic Bulletin & Review, 23, 640–647. https://doi.org/10.3758/s13423-015-0913-5

 

2015

 

Schulze, C., van Ravenzwaaij, D., & Newell, B. R. (2015). Of Matchers and Maximizers: How Competition Shapes Choice under Risk and Uncertainty. Cognitive Psychology, 78, 78–98. https://doi.org/10.1016/j.cogpsych.2015.03.002

 

van Ravenzwaaij, D., Mulder, M. J., Tuerlinckx, F. & Wagenmakers, E.–J. (2015). Paradoxes of Optimal Decision Making: A Response to Moran (2014). Psychonomic Bulletin & Review, 22, 307–308. https://doi.org/10.3758/s13423-014-0679-1

 

2014

 

van Ravenzwaaij, D., Boekel, W., Forstmann, B. U., Ratcliff, R., & Wagenmakers, E.–J. (2014). Action Video Games Do Not Improve the Speed of Information Processing in Simple Perceptual Tasks. Journal of Experimental Psychology: General, 143, 1794–1805. https://doi.org/10.1037/a0036923 The online appendix can be found here. The data from both experiments can be found here. 

 

van Ravenzwaaij, D., Moore, C. P., Lee, M. D., & Newell, B. R. (2014). A Hierarchical Bayesian Modeling Approach to Searching and Stopping in Multi–Attribute Judgment. Cognitive Science, 38, 1384–1405. https://doi.org/10.1111/cogs.12119 R scripts, JAGS model files, and data can be found here.

 

Huizenga, H. M., van Duijvenvoorde, A. C. K., van Ravenzwaaij, D., Wetzels, R., & Jansen, B. R. J. (2014). Is the Unconscious, if it Exists, a Superior Decision Maker? Behavioral Brain Sciences, 37, 32–33. https://doi.org/10.1017/S0140525X13000769

 

2013

 

Newell, B. R., van Ravenzwaaij, D., & Donkin, C. (2013). A Quantum of Truth? Querying the Alternative Benchmark for Human Cognition. Behavioral Brain Sciences, 36, 300–302. https://doi.org/10.1017/S0140525X12003068

 

Newell, B. R., Koehler, D. J., James, G., Rakow, T., & van Ravenzwaaij, D. (2013). Probability Matching in Risky Choice: The Interplay of Feedback and Strategy Availability. Memory & Cognition, 41, 329–338. https://doi.org/10.3758/s13421-012-0268-3 R scripts, WinBUGS model files, and data can be found here.

 

2012

 

Dutilh, G., van Ravenzwaaij, D., Nieuwenhuis, S., van der Maas, H. L. J., Forstmann, B. U., & Wagenmakers, E.–J. (2012). How to Measure Post–Error Slowing: A Confound and a Simple Solution. Journal of Mathematical Psychology, 56, 208–216. https://doi.org/10.1016/j.jmp.2012.04.001

 

van Ravenzwaaij, D., Mulder, M. J., Tuerlinckx, F. & Wagenmakers, E.–J. (2012). Do the Dynamics of Prior Information Depend on Task Context? An Analysis of Optimal Performance and an Empirical Test. Frontiers in Cognitive Science, 3:132, 1–15. https://doi.org/10.3389/fpsyg.2012.00132 The data can be found here.

 

van Ravenzwaaij, D., van der Maas, H. L. J., & Wagenmakers, E.–J. (2012). Optimal Decision Making in Neural Inhibition Models. Psychological Review, 119, 201–215. https://doi.org/10.1037/a0026275 Click here for supplementary material.

 

Huizenga, H. M., Wetzels, R., van Ravenzwaaij, D., & Wagenmakers, E.–J. (2012). Four Empirical Tests of Unconscious Thought Theory. Organizational Behavior and Human Decision Processes, 117, 332–340. https://doi.org/10.1016/j.obhdp.2011.11.010

 

van Ravenzwaaij, D., Dutilh, G., & Wagenmakers, E.–J. (2012). A Diffusion Model Decomposition of the Effects of Alcohol on Perceptual Decision Making. Psychopharmacology, 219, 1017–1025. https://doi.org/10.1007/s00213-011-2435-9 The data can be found here.

 

2011

 

van Ravenzwaaij, D., Brown, S. D., & Wagenmakers, E.–J. (2011). An Integrated Perspective on the Relation Between Response Speed and Intelligence. Cognition, 119, 381–393. https://doi.org/10.1016/j.cognition.2011.02.002

 

van Ravenzwaaij, D., van der Maas, H. L. J., & Wagenmakers, E.–J. (2011). Does the Name-Race Implicit Association Test Measure Racial Prejudice? Experimental Psychology, 58, 271–277. https://doi.org/10.1027/1618-3169/a000093 A list of stimuli used in both studies can be found here. The online appendix can be found here. This article was featured in an issue of Psychology Today here.

 

van Ravenzwaaij, D., Dutilh, G., & Wagenmakers, E.–J. (2011). Cognitive Model Decomposition of the BART: Assessment and Application. Journal of Mathematical Psychology, 55, 94–105. https://doi.org/10.1016/j.jmp.2010.08.010 R scripts, WinBUGS model files, and data can be found here. The online appendix can be found here.

 

2009

 

van Ravenzwaaij, D., & Oberauer, K. (2009). How to Use the Diffusion Model: Monte–Carlo Simulations Evaluating Parameter Recovery of Three Methods: EZ, Fast-DM, and DMAT. Journal of Mathematical Psychology, 53, 463–473. https://doi.org/10.1016/j.jmp.2009.09.004

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Keye, D., Wilhelm, O., Oberauer, K., & van Ravenzwaaij, D. (2009). Individual Differences in Conflict-Monitoring: Testing Means and Covariance Hypothesis about the Simon and the Eriksen Flanker Task. Psychological Research, 73, 762–776. https://doi.org/10.1007/s00426-008-0188-9

 

2006

 

van Ravenzwaaij, D., & Hamel, R. (2006). De Nederlandstalige WAIS–III na Hernormering. De Psycholoog, 5, 268–271.